Discover Performance Blog

Welcome to the Discover Performance blog, a resource for enterprise IT leaders who share a passion for performing better. Here you’ll find strategic insights and best practices from your peers as well as from HP’s own practitioners who help others define, measure and achieve better IT performances.

For additional in-depth articles on critical topics for IT executives, visit  http://hpsw.co/b7NWj4e

Displaying articles for: May 2014

Juggling internal and external staff? You need optimized resource management

Jason Waugh photo.PNGBy Jason Waugh

 

Very few, if any, of my enterprise clients rely solely on in-house resources during a major project, which can make staffing a very complex process. If your business is like most, you’re working with teams of developers and IT staff located around the world; some of these resources are internal and others are contracted for specific tasks.

 

But the staffing models most companies build don’t give you the information you need to make most efficient use of resources, particularly when it comes to using external contractors. And this can result in project delays and wasted money.

 

Read on to get a preview of my HP Discover roundtable on how to optimize your resource management.

Know your customers 100% better

time value of insight.png

Knowing your customers better allows you to better help them (and sell more to them!)

 

We need a 360-degree view onto our customers in order to gain the insights we need. This involves analysis of sentiment (clustering and then analysis strength of sentiment), and social network analysis to figure out who the best connected people are and then influencing them.

 

And we need to analyse structured customer data too. From this analysis we can infer "affinities" - products and services that will bought together. This allows us to target our marketing much more accurately. 

 

Structured customer data allows us to build up a preference model for our customers, thus allowing us to make more accurate and useful recommendations to them.

 

If we can do all this analysis in a timely manner, we are more likely to influence a sale - speed matters when it comes to knowing our customers better.

SaaS isn’t the only way—software today is all about choice

michael-garrett2.jpgBy Michael Garrett

 

Reading the business and technology press, you might get the impression that the world of enterprise software is shifting on its axis to become entirely SaaS-based. But if you dig deeper you’ll find that the story is more complex. Enterprises are embracing SaaS, yes, but instead of merely looking to consume software on a subscription basis, what they’re really looking for is choice. We’re seeing this with our HP Software Professional Services customers, and also in the marketplace.

 

Here's how to match a software consumption model to your particular environment, and find the speed, flexibility and cost position that works best for you.

Labels: SaaS

The 3 most important PPM questions to best align people with projects and improve business decisions

Jason Waugh photo.PNGBy Jason Waugh

 

How do you make the best use of the people in your organization? It may sound like a simple question, but as businesses strive to become as agile as possible, it takes on more urgency. Customers often ask me, “How do we know if we have enough people to do all our projects? When we don't, how do we shift things around?” The biggest hurdle these customers face is a lack of objective visibility into available resources. Achieving that visibility lets you more efficiently align resources with project priorities and make the best business decisions.

 

Read more to learn project and portfolio management best practices like the three key questions to ask to better align resources to project priorities.

Big Data 2020 : Augmenting Humans

augmented conversation.png

 

In 1930, one person could harvest 11 bushels of wheat. Today, that same person can harvest 900 bushels. 

 

Improvements in the productivity of information workers have not been anything like as dramatic. McKinsey estimates that mainframes improved productivity of information workers by 2.8 percent, the mini-computer and PC by 1.49 percent, the Internet by 2.5 percent and mobility by 2.7 percent.

 

I believe that the most important use of big data by 2020 will be to augment information workers - to allow one information worker to achieve what many do today.

Excellent Infographic on "The Internet of Things"

inet of things.pngNice infographic on the internet of things.

 

It talks about what will be sending data, the comms over which it will send it, and the processes the data will take part in.  

 

It then talks about the new applications that will be buildable because of the internet of things. 

Big Data 2020 : Everything will be an experiment

completing agility.pngI believe that by 2020, we will increasingly treat smart devices, applications, business process flows, music and other media as experiments. We will use big data to quickly and accurately guage what our customer think of our "experiments". 

 

This blog post goes into more detail on this subject. It includes a discussion on agility, and how big data is already being used to complete the agility loop from release to "start design on next version". 

Big data that is out of this world

We often use the term “data scientist” when talking about the profession, or even task, of analyzing data.  But that term takes on a whole new meaning when you actually sit down to talk to a real scientist who has to make sense of big data in order to accurately represent what can’t be seen with the human eye.

Labels: Big Data

"Analytics for the people" - Big Data 2020

360 diagram copy.pngIn the future, we will regularly use "360 degree big data analysis" to provide us with insights. 360 degree big data collects data from human interactions, from the structured data we collect today, and data from the "internet of things" that will, by 2020, account for over 40% of the mobile traffic.

 

By 2020, subject matter experts will be able to build their own analyses using this rich source of data.

 

As well as discussing 360-degree big data, this blog post previews a joint HP Labs / HP Software project to deliver "analytics for the people" - the ability to model 306-degree, big data analysis without the need for PhD data scientists.

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About the Author(s)
  • Alec Wagner is a longtime writer & editor, enterprise IT insider, and (generally) fearless digital nomad.
  • Lending 20 years of IT market expertise across 5 continents, for defining moments as an innovation adoption change agent.
  • This account is for guest bloggers. The blog post will identify the blogger.
  • I'm the community manager for Discover Performance and have been a writer/editor in the technology field for several years.
  • Mike has been with HP for 30 years. Half of that time was in R&D, mainly as an architect. The other 15 years has been spent in product management, product marketing, and now, solution marketing. .
  • Paul Muller leads the global IT management evangelist team within the Software business at HP. In this role, Muller heads the team responsible for fostering HP’s participation in the IT management community, contributing to and communicating best-practice in helping IT perform better.
  • Rafael Brugnini (Rafa) serves as VP of EMEA & APJ for HP Software. Joining in 1996 and has more than 20 years of knowledge and experience linked to HP. He resides in Madrid with his wife and family, and in his spare time he enjoys windsurfing.
  • Evangelist for IT Financial Management (ITFM), IT Governance and IT Portfolio Management, consulting IT organisations for Close to 15 years on principles of good governance.
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